Director of Software Engineering

Position Summary The Director of Software Engineering is a hands-on engineering leadership role at the intersection of strategy and execution for TWFG's software engineering organization. This role is responsible for delivering scalable, secure, and high-quality software solutions that support business growth while building strong engineering teams, modern development practices, and a culture of accountability and continuous improvement.

Essential Responsibilities Strategic Leadership:

Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives. Architect and champion, a forward-thinking AI vision that anticipates industry disruption. Identify, prioritize, and champion high-impact AI use cases across business functions (technology, distribution, operations, finance, marketing, risk etc.,). Drive AI adoption and digital innovation, transforming data into actionable insights and business outcomes. Serve as a trusted advisor to the C-suite, translating complex AI concepts into actionable business strategies. Regularly present at board meetings and industry forums, shaping the company's reputation as an innovator in AI.

Program Oversight & Execution:

Oversee a portfolio of AI/ML initiatives, from proof-of-concept to production at scale. Ensure proper governance, compliance, risk management, and ethical AI practices. Establish KPIs and successful metrics to monitor the effectiveness and ROI of AI initiatives. Manage vendor relationships, including cloud providers, AI platforms, and consulting partners.

Architecture, Data & Technology:

Partner with Engineering, DevOps and Infrastructure teams to ensure scalable AI infrastructure, data pipelines, and model deployment frameworks. Champion the adoption of MLOps, responsible AI principles, and reusable AI assets and platforms. Keep abreast of emerging AI trends and technologies and evaluate their applicability to the business. Governs the full lifecycle from onboarding, contract negotiation, and compliance to renewal or termination Third party technology vendors. Manages Third party technology vendors outputs against service level agreements (SLAs) and key performance indicators (KPIs).

Technical Acumen & Innovation:

Write, review, and contribute to production-level code alongside the team — ensuring technical decisions are grounded in real-world engineering experience. Direct the design, deployment, and scaling of sophisticated AI/ML solutions, including generative AI, deep learning, and NLP. Evaluate and integrate emerging technologies to maintain a competitive edge. Oversee the development of robust, scalable AI infrastructure, ensuring seamless integration with enterprise data platforms and cloud ecosystems (Azure, Snowflake, Databricks). Champion MLOps and responsible AI frameworks. Establish and enforce rigorous standards for data governance, security, and ethical AI. Forge strategic partnerships across business functions, ensuring AI initiatives deliver measurable value in sales, operations, finance, marketing, and risk management. Lead enterprise-wide change management for AI adoption. Key Internal & External Partners Executive and Business Leadership Product Management and Architecture Teams Infrastructure, Cloud, and Information Security Third-Party Development and Technology Vendors Key Performance Indicators (KPIs) On-time and on-budget delivery of software initiatives Application quality, reliability, and performance metrics Employee engagement and retention within engineering teams Reduction of technical debt and cycle time Stakeholder satisfaction Required Qualifications Education & Experience Bachelor's degree in Computer Science, Engineering, or related field 10+ years of experience in Data platforms, AI, ML, or advanced analytics. With at least 5 years in a senior leadership or enterprise strategy role. Proven track record of delivering AI solutions that drive measurable business value Experience working with cloud platforms (e.g., Azure, Snowflake, Databricks), AI/ML tools (e.g., PySpark, Ragas, mlflow, LangChain, etc), and enterprise data platforms. Deep understanding of AI/ML techniques (supervised/unsupervised learning, NLP, deep learning, generative AI). Strong knowledge of enterprise IT, data governance, architecture, and security standards. Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences. Strategic thinker with strong business acumen and a collaborative mindset. Preferred Qualifications Experience in insurance, financial services, or regulated industries Strong background in cloud platforms and modern development frameworks Experience leading large-scale digital transformation initiatives Certifications / Licenses Cloud, architecture, or Agile certifications preferred Leadership or management certifications a plus Supervisory Responsibilities Directly supervises Engineering Managers and may indirectly oversee multiple software engineering teams

Core Competency Behavioral Competencies Pride and Ownership:

Accountable for outcomes, quality, and team performance

Strategic Thinking:

Aligns technical decisions with long-term business goals

Leadership:

Builds trust, develops talent, and drives results through others Technical Competencies Software Architecture & Engineering Best Practices Cloud & DevOps Enablement Agile & Product Delivery Models Risk Management & Governance Work Environment & Physical Requirements Office and hybrid work environment Prolonged periods of computer use Ability to operate standard office equipment Occasional after-hours support during critical initiatives Equal Employment Opportunities TWFG is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other protected characteristic. Disclaimer This job description is not intended to cover all activities, duties, responsibilities, or standards of the position and may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. TWFG (

NASDAQ:

TWFG) is a high-growth, independent distribution platform for personal and commercial insurance in the United States and represents hundreds of insurance carriers that underwrite personal lines and commercial lines risks. For more information, please visit twfg.com .

Pay:

$150,000.00

• $200,000.

00 per year

Benefits:

401(k) matching Bereavement leave Dental insurance Health insurance Life insurance Paid holidays Tuition reimbursement Vision insurance Application Question(s): Please answer all questions, Thank you. Only candidates how answer all questions will be considered. This position is based on site in The Woodlands, Texas, five days per week. Are you open to a full-time, on-site role? Yes or No Are you currently authorized to work in the United States for any employer? Yes or No This position does not offer employment-based visa sponsorship now or in the future. Will you require visa sponsorship (e.g., H-1B, TN, E-3) at any time to work in the United States? Yes or No What are your base salary compensation expectations for this role? How many years of experience do you have leading software engineering teams at the Director or senior leadership level? How many years of hands-on experience do you have working with AI, machine learning, or advanced data platforms? Which of the following platforms or technologies have you led teams using? (Denote all that apply) Azure Snowflake Databricks MLflow / MLOps Generative

AI / LLM

frameworks None of the above Have you led AI or large-scale software initiatives from proof-of-concept through enterprise production deployment? No Yes

• Limited Scope Yes
• Enterprise Scale How comfortable are you presenting technical strategy and outcomes to executive leadership or the Board? Not Comfortable Somewhat Comfortable Very Comfortable Do you have leadership experience in insurance? No Yes
• Indirect Yes

•

Direct Work Location:

In person